import numpy as np
import tensorflow as tf

input_x = np.random.uniform(1, 10, [1280])
softmax = tf.nn.softmax(input_x).numpy()

input_x_max = np.max(input_x)
result = np.exp(input_x-input_x_max)/np.sum(np.exp(input_x-input_x_max))
import pdb
pdb.set_trace()